Data Ingestion: AI facilitates the efficient collection of data from various sources, including social media, sensors, transactional systems, and more.
Tools like Apache Kafka and Apache NiFi, often enhanced with AI, help in real-time data ingestion.
Data Integration: AI helps in merging data from different sources, ensuring consistency and compatibility. This involves cleaning, transforming, and structuring data for further analysis.
2. Data Storage and Management
Scalable Storage Solutions: AI optimizes storage solutions like Hadoop Distributed File System (HDFS) and cloud-based data lakes, ensuring they handle large volumes of data efficiently.
Database Management Systems: AI enhances databases like NoSQL and NewSQL, making them more adaptive and capable of managing large datasets dynamically.
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